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Preventive medical facility network design software considering crowding effect

A network design, preventive technology, applied in the public service field, can solve the problem of not considering the waiting time of facilities, etc., to achieve the effect of saving money, maximizing utility, reducing possibility and severity

Pending Publication Date: 2022-03-29
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The third is the polynomial logit distribution, which can include the user's characteristics and unobserved attributes in the utility function, but it does not consider the waiting time of the facility, but only uses it as a constraint, which is not realistic
This means that the balance between the waiting time and the number of users must be considered

Method used

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  • Preventive medical facility network design software considering crowding effect
  • Preventive medical facility network design software considering crowding effect
  • Preventive medical facility network design software considering crowding effect

Examples

Experimental program
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Embodiment Construction

[0127] We conduct a computational experiment to evaluate the effectiveness of the proposed model and algorithm. The experiment adopts the Sioux Falls network widely used in network design. This is an example figure 2 A medium-sized network is shown. The network consists of 24 nodes and 76 road segments. For computational experiments, it is assumed that there are 8 demand nodes and 8 candidate locations. Therefore, there are 64 pairs of origins and destinations. The travel time and length of road section a (a∈L) are denoted as t a and l a , and the values ​​are shown in Table 1. Assuming that the driving speed of the road section is 30 miles per hour (mile / h), the length of the road section can be converted into the driving time of the road section. The preventive medical demand data calculated by the number of users per hour (user / hour) is shown in Table 2.

[0128] Table 1 Characteristics of the Sioux Falls network

[0129]

[0130]

[0131] Table 2 Medical de...

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Abstract

The preventive medical service is crucial, and can intervene in time in the early stage of diseases, so that a large amount of medical expenditure is saved, and social welfare is improved. Considering the importance of preventive medical services, the invention provides preventive medical facility network design software considering the crowding effect so as to maximize the total social utility. Due to the fact that a double-layer decision-making structure exists between a system manager and a facility user, a double-layer nonlinear integer programming model is constructed. An upper layer is a medical facility site selection and service capability planning problem under budget constraint, and a lower layer is a user selection balance problem considering a crowding effect. In order to solve the bilayer programming model, a genetic algorithm (GA) is adopted to solve an upper layer problem, and a successive average method (MSA) is adopted to solve a lower layer problem. Software development adopts a free open-source R language, and experiments show that the software can be used for preventive medical facility network design under budget constraint and can also provide decision reference for budget compilation.

Description

Technical field: [0001] The invention proposes a preventive medical facility network design software considering the crowding effect, which belongs to the technical field of public services. Background technique: [0002] The current healthcare system is not prepared to prevent serious disease outbreaks, and preventive healthcare services are critical to governments as they reduce the likelihood and severity of potentially life-threatening illnesses through early detection. Preventive healthcare includes many services such as flu prevention, vaccinations, cancer screenings, hepatitis screenings, and smoking cessation programs, among others. We all know that prevention is always better than cure. It can save the government a lot of money and improve the well-being of the whole society. However, the current preventive medical and health services in many countries and regions in the world are not satisfactory. [0003] The present invention focuses on site selection of preve...

Claims

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Application Information

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IPC IPC(8): G16H50/80G06Q10/06G06Q30/02G06N3/12
CPCG16H50/80G06Q10/0637G06Q30/0205G06N3/126
Inventor 林宏志王海铄周锦荟
Owner SOUTHEAST UNIV
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